scholarly journals Sovereign Bond Risk Premiums

Author(s):  
Engelbert J. Dockner ◽  
Manuel Mayer ◽  
Josef Zechner
2018 ◽  
Vol 31 (12) ◽  
pp. 4863-4883 ◽  
Author(s):  
Likuan Qin ◽  
Vadim Linetsky ◽  
Yutian Nie

Author(s):  
Daniele Bianchi ◽  
Matthias Büchner ◽  
Andrea Tamoni

Abstract We show that machine learning methods, in particular, extreme trees and neural networks (NNs), provide strong statistical evidence in favor of bond return predictability. NN forecasts based on macroeconomic and yield information translate into economic gains that are larger than those obtained using yields alone. Interestingly, the nature of unspanned factors changes along the yield curve: stock- and labor-market-related variables are more relevant for short-term maturities, whereas output and income variables matter more for longer maturities. Finally, NN forecasts correlate with proxies for time-varying risk aversion and uncertainty, lending support to models featuring both channels.


2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Paul J.J. Welfens ◽  
Fabian Baier ◽  
Samir Kadiric ◽  
Arthur Korus ◽  
Tian Xiong

Abstract Key aspects covered refer to the cost of leaving the EU and in particular the implications for corporate bond risk premiums in the UK and the Eurozone: The gap between the interest rates of corporate bonds and government bonds could increase in the UK and Eurozone, respectively, as a result of BREXIT where the 2016 BREXIT referendum itself is considered to be a first BREXIT event (see the empirical findings), followed by the main BREXIT event, namely the day of officially leaving the EU – possibly as a No-deal BREXIT. It is as yet not clear what type of BREXIT will be implemented – hard versus soft – and it is also unclear what type of free trade agreement the EU and the UK could accomplish post-BREXIT. However, it is obviously necessary to carefully consider the background of the BREXIT dynamics and to then refer to various versions of BREXIT if one is to understand the inherent politico-economic dynamics of BREXIT – with a No-deal case representing an analytical benchmark which most politicians in the British Parliament obviously would want to avoid; a simple way to indeed avoid this case, with obvious high costs for the British economy, is not easy to discern as the UK’s political system is fractured. If the safe-haven status of the UK should be impaired by BREXIT, the rise of government bond interest rates by 0.3 percent would stand for the same burden as the net UK contribution to the EU.


2010 ◽  
Vol 66 (4) ◽  
pp. 67-82 ◽  
Author(s):  
Gerardo Palazzo ◽  
Stefano Nobili
Keyword(s):  

1997 ◽  
Vol 12 (2) ◽  
pp. 179-198 ◽  
Author(s):  
Ida Robinson Backmon ◽  
Donn W. Vickrey

Prior research on the relationship between loss contingency disclosures and equity market parameters implies that such disclosures may provide useful information to equity market participants. However, there is no empirical evidence on the relationship between loss contingency data and bond market parameters. Using methods from continuous-finance theory, we model risk premiums on new issues as a function of default risk, issue traits, the risk-free rate, the severity level of loss contingency disclosures, and the frequency of such disclosures. Our results imply that both the severity-level and frequency of reported contingencies are positively related to the magnitude of risk premiums assessed on new bond issues. In economic terms, a one-unit increase in the severity level of a contingency disclosure increases the yield premium by 0.034 percentage points. Similarly, each additional contingency reported by the firm during our sample period increased the yield premium by 0.305 percentage points.


2020 ◽  
Author(s):  
Alin Marius Andries ◽  
Steven R. G. Ongena ◽  
Nicu Sprincean
Keyword(s):  

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